Annual State-reported licensed driver data from Highway Statistics for the 50 States and DC from Highway Statistics table DL-22.

Driver Safety Dataset

This dataset contains images and annotations for driver drowsiness detection and safety monitoring.

  Dataset Details

Creation Date: 2025-05-28 Task: Computer Vision - Driver Safety Categories: Drowsy and Normal driving conditions

  Dataset Structure

Raw Data:

drowsy/: Images of drowsy driving conditions normal/: Images of normal driving conditions

Processed Data:

dataset.csv: Processed dataset with annotations dataset_summary.json:… See the full description on the dataset page: https://huggingface.co/datasets/ckcl/driver-safety-dataset.

OPT does not operate any buses nor does it directly employ any bus drivers or attendants. Drivers and attendants (sometimes referred to as ‘matrons’ or ‘escorts’) and employed by bus vendors themselves. OPT manages systems and processes to ensure that drivers and attendants have all requisite background checks and certifications. The Driver and Attendant summary data is available for each bus vendor and describes the number of active employees by job type.

PLEASE NOTE: This dataset, which includes all TLC Licensed Drivers who are in good standing and able to drive, is updated every day in the evening between 4-7pm. Please check the 'Last Update Date' field to make sure the list has updated successfully. 'Last Update Date' should show either today or yesterday's date, depending on the time of day. If the list is outdated, please download the most recent list from the link below. http://www1.nyc.gov/assets/tlc/downloads/datasets/tlc_medallion_drivers_active.csv This is a list of drivers with a current TLC Driver License, which authorizes drivers to operate NYC TLC licensed yellow and green taxicabs and for-hire vehicles (FHVs). This list is accurate as of the date and time shown in the Last Date Updated and Last Time Updated fields. Questions about the contents of this dataset can be sent by email to: licensinginquiries@tlc.nyc.gov.

Sample Data: https://cloud.drivertechnologies.com/shared?s=59&t=4:01&token=76eb027b-f34d-4c78-8e84-5a15b3b216d1

At Driver Technologies, we are dedicated to harnessing advanced technology to gather anonymized critical driving data through our innovative dash cam app, which operates seamlessly on end users' smartphones. Our Eco Driving Telematics Data offering is a key resource for understanding driver behavior and improving safety on the roads, making it an essential tool for various industries.

What Makes Our Data Unique? Our Eco Driving Telematics Data is distinguished by its real-time collection capabilities, utilizing the built-in accelerometer and gyroscope sensors of smartphones to capture telematics during driving. his data reflects instances of eco driving events, which are key indicators of effecient driving behavior. Through our dataset, gain access to videos, processed through our computer vision model, of particular events and/or a telematics-only trip with an instance of a significant event. By providing data on significant events, our dataset empowers clients to perform in-depth analysis.

How Is the Data Generally Sourced? The data is sourced directly from users who use our dash cam app. As users drive, our app monitors and records telematics data, ensuring that the information is both authentic and representative of real-world driving conditions.

Primary Use-Cases and Verticals Driver Behavior Analysis: Organizations can leverage our telematics data to analyze driving habits and identify trends in aggressive driving behavior. Improving Risk Assessment: Insurers can utilize our dataset to refine their risk assessment models. By understanding the frequency and context of significant events, they can better evaluate driver risk profiles, leading to more accurate premium pricing and improved underwriting processes.

Integration with Our Broader Data Offering The Eco Driving Telematics Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and smart city planning.

In summary, Driver Technologies' Eco Driving Telematics Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Eco Driving Telematics Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

Total Vehicle Sales in the United States increased to 16.41 Million in July from 15.32 Million in June of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Moving 12-Month Total Vehicle Miles Traveled (M12MTVUSM227NFWA) from Dec 1970 to Apr 2025 about miles, travel, vehicles, and USA.

Key information about United States Motor Vehicle Sales: Passenger Cars

• United States Motor Vehicle Sales: Passenger Cars was reported at 3,116,647.000 Unit in Dec 2023.
• This records an increase from the previous number of 2,858,575.000 Unit for Dec 2022.
• US Motor Vehicle Sales: Passenger Cars data is updated yearly, averaging 6,089,403.000 Unit from Dec 2005 to 2023, with 19 observations.
• The data reached an all-time high of 7,761,592.000 Unit in 2006 and a record low of 2,858,575.000 Unit in 2022.
• US Motor Vehicle Sales: Passenger Cars data remains active status in CEIC and is reported by International Organization of Motor Vehicle Manufacturers.
• The data is categorized under World Trend Plus’s Association: Automobile Sector – Table RA.OICA.MVS: Motor Vehicle Sales: by Country and Type: Passenger Car (PC).

SpaceKnow uses satellite (SAR) data to capture activity in electric vehicles and automotive factories.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data that monitors the area which is covered with assembled light vehicles in square meters.

We offer 3 delivery options: CSV, API, and Insights Dashboard

Available companies Rivian (NASDAQ: RIVN) for employee parking, logistics, logistic centers, product distribution & product in the US. (See use-case write up on page 4) TESLA (NASDAQ: TSLA) indices for product, logistics & employee parking for Fremont, Nevada, Shanghai, Texas, Berlin, and Global level Lucid Motors (NASDAQ: LCID) for employee parking, logistics & product in US

Why get SpaceKnow's EV datasets?

Monitor the company’s business activity: Near-real-time insights into the business activities of Rivian allow users to better understand and anticipate the company’s performance.

Assess Risk: Use satellite activity data to assess the risks associated with investing in the company.

Types of Indices Available Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices. The first one is CFI-R which gives you level data, so it shows how many square meters are covered by metallic objects (for example assembled cars). The second one is CFI-S which gives you change data, so it shows you how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Product index This index monitors the area covered by manufactured cars. The larger the area covered by the assembled cars, the larger and faster the production of a particular facility. The index rises as production increases.

Product distribution index This index monitors the area covered by assembled cars that are ready for distribution. The index covers locations in the Rivian factory. The distribution is done via trucks and trains.

Employee parking index Like the previous index, this one indicates the area covered by cars, but those that belong to factory employees. This index is a good indicator of factory construction, closures, and capacity utilization. The index rises as more employees work in the factory.

Logistics index The index monitors the movement of materials supply trucks in particular car factories.

Logistics Centers index The index monitors the movement of supply trucks in warehouses.

Where the data comes from: SpaceKnow brings you information advantages by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the EV industry with just a 4-6 day lag, on average.

The EV data help you to estimate the performance of the EV sector and the business activity of the selected companies.

The backbone of SpaceKnow’s high-quality data is the locations from which data is extracted. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

Each individual location is precisely defined so that the resulting data does not contain noise such as surrounding traffic or changing vegetation with the season.

We use radar imagery and our own algorithms, so the final indices are not devalued by weather conditions such as rain or heavy clouds.

→ Reach out to get a free trial

Use Case - Rivian:

SpaceKnow uses the quarterly production and delivery data of Rivian as a benchmark. Rivian targeted to produce 25,000 cars in 2022. To achieve this target, the company had to increase production by 45% by producing 10,683 cars in Q4. However the production was 10,020 and the target was slightly missed by reaching total production of 24,337 cars for FY22.

SpaceKnow indices help us to observe the company’s operations, and we are able to monitor if the company is set to meet its forecasts or not. We deliver five different indices for Rivian, and these indices observe logistic centers, employee parking lot, logistics, product, and prod...

THIS DATASET IS UPDATED SEVERAL TIMES PER DAY. TLC Driver application status check for applicants who had applied for a new TLC driver’s license. For questions, please email newdriverapp@tlc.nyc.gov and visit www.nyc.gov/newdriver for more detailed information.

For historical/archived data of past application statuses, please see- https://data.cityofnewyork.us/Transportation/Historical-Driver-Application-Status/p32s-yqxq

Urban SDK is a GIS data management platform and global provider of mobility, urban characteristics, and alt datasets. Urban SDK Traffic data provides traffic volume, average speed, average travel time and congestion for logistics, transportation planning, traffic monitoring, routing and urban planning. Traffic data is generated from cars, trucks and mobile devices for major road networks in US and Canada.

"With the old data I used, it took me 3-4 weeks to create a presentation. I will be able to do 3-4x the work with your Urban SDK traffic data."

Traffic Volume, Speed and Congestion Data Type Profile:

• Traffic volume in annual average daily and daily traffic volumes per roadway
• Average travel speed in 15 minute and hourly intervals per roadway
• Travel time in seconds in 15 minute intervals per roadway
• Commute travel time in minutes in annual interval estimates in geohash boundaries
• Congested roadway segments based on travel time reliability in monthly intervals per roadway
• Traffic data attributed spatially to state, county, road functional class, road name, road segment, segment length in km or miles as geojson

Industry Solutions include:

• Transportation Planning
• Traffic Monitoring
• Congestion Management and Trend Analysis
• Travel Demand Modeling
• Traffic Impact Analysis
• Parking Analysis
• Transit System Planning
• Route Planning
• Civil Engineering
• Site Selection

Use cases:

• Traffic monitoring, data analysis, and forecasting for transportation, transit, and urban planning.
• Improve dynamic routing with accurate travel time and congestion data
• Environmental and emissions analysis
• Travel demand and transportation modeling
• Location analysis and assessment for commercial site selection for retail or logistics related locations

What are the top vacation rentals in Driver? How many vacation rentals have private pools in Driver? Which vacation homes in Driver are best for families? How many Rentbyowner vacation rentals are available in Driver?

The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

Historical licensee status data. Data dictionary available here: https://data.cityofnewyork.us/api/views/p32s-yqxq/files/20bca1de-74f0-462e-8574-f25ca66b8346?download=true&filename=NewDriverAppStatusLookupLegend.pdf

For questions, please email newdriverapp@tlc.nyc.gov.

First Registrations of Brand New Passenger Cars data was reported at 746,788.000 Number in Dec 2024. This records an increase from the previous number of 738,592.000 Number for Sep 2024. First Registrations of Brand New Passenger Cars data is updated quarterly, averaging 747,191.500 Number from Mar 2020 (Median) to Dec 2024, with 20 observations. The data reached an all-time high of 1,044,835.000 Number in Jun 2021 and a record low of 652,191.000 Number in Dec 2021. First Registrations of Brand New Passenger Cars data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Motor Vehicles Statistics: OECD Member: Quarterly. [COVERAGE] A passenger car is a road motor vehicle, other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons (including the driver). The term 'passenger car' therefore covers microcars (need no permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups. [COVERAGE] Data do not include light trucks. [STAT_CONC_DEF] Until 2008, data are not available. Quarterly and monthly data are not available. Since 2022, data are not yet available.

United States US: First Registrations of Brand New Road Vehicles: %: Passenger Cars data was reported at 92.930 % in 2013. This records an increase from the previous number of 92.926 % for 2012. United States US: First Registrations of Brand New Road Vehicles: %: Passenger Cars data is updated yearly, averaging 92.930 % from Dec 2009 (Median) to 2013, with 5 observations. The data reached an all-time high of 94.285 % in 2009 and a record low of 92.817 % in 2011. United States US: First Registrations of Brand New Road Vehicles: %: Passenger Cars data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Motor Vehicles Statistics: OECD Member: Annual. A passenger car is a road motor vehicle, other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons (including the driver). The term 'passenger car' therefore covers microcars (need no permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups. A good road motor vehicle is any single road motor vehicle designed to carry goods (lorry), or any coupled combination of road vehicles designed to carry goods, (i.e. lorry with trailer(s), or road tractor with semi-trailer and with or without trailer).; First registrations of brand new passenger cars do not include light trucks. First registrations of brand new goods vehicles refer to commercial vehicles over 10,000 pounds gross vehicle weight.

The size of the United States Data Center Storage market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 8.94% during the forecast period.The United States Data Center Storage Market refers to the systems and technologies that store and manage massive data in data centers located within the United States. Data center storage solutions are a broad range of technologies that include hard disk drives, solid-state drives, tape libraries, and object storage systems. These are very important for businesses and organizations of all sizes to store, access, and protect their most critical data information, including customer details, financial records, research data, and many more.U.S. Data Center Storage Market Growth Drivers include growing volumes of data from both businesses and individuals, rapid growth of cloud computing, and the need to meet regulation of data including GDPR and CCPA. Recent developments include: September 2023: Infinidat, a prominent provider of enterprise storage solutions, announced the release of two new significant enhancements that enrich and expand the company’s all-flash capabilities and capacity for enterprise storage. Infinidat launched SSA Express Software for the InfiniBox platform, providing a fast, all-flash engine integrated into the hybrid array. It assists smaller applications and workloads that require higher performance at low speed, and SSA Express Software eliminates the need for businesses to buy separate siloed flash arrays., May 2023: Nutanix, a prominent provider in cloud computing and hybrid multi-clouds, announced the launch of Nutanix Central, a cloud-based solution that provides a single console for visibility, monitoring, or management across on-premises, hosted, or edge infrastructure. This will extend the universal cloud operating model of the Nutanix Cloud Platform to break down silos and simplify consistently managing apps and data anywhere.. Key drivers for this market are: Increasing Demand for Cloud Computing Capabilities Drives Market Growth, Adoption of Green Practices in Data Centers Drives Market Growth. Potential restraints include: High Maintenance and Replacement Cost. Notable trends are: IT and Telecommunication Segment Holds the Major Share.

This dataset is provided by AIxBlock, an unified platform for AI development and AI workflows automation. Download link here: https://drive.google.com/drive/folders/1og6jymrVhjuFen_08pqR5O-tj8sjJQ37 Please before you request an access, give us a star on our github account (https://github.com/AIxBlock-2023/aixblock-ai-dev-platform-public/tree/main) and a follow on Hugging face, it means a lot to us ;) This dataset contains hundreds of short, raw video recordings of damaged cars, captured in… See the full description on the dataset page: https://huggingface.co/datasets/AIxBlock/damaged-cars-videos-usa-asia.

At Driver Technologies, we specialize in collecting high-quality, highly-anonymized driving data crowdsourced through our dash cam app. Our Pickup Automotive Consumer Video Data is built from millions of miles of driving data captured by our users and is optimized for training object detection models and enhancing various applications in transportation and safety.

What Makes Our Data Unique? What sets our Pickup Automotive Consumer Video Data apart is its comprehensive approach to road object detection. By leveraging advanced computer vision models, we analyze the captured video to identify and classify various road objects encountered during an end user's trip. This includes vehicles, pedestrians, traffic signs, road conditions, and more, resulting in rich, annotated datasets that can be applied across a range of industries.

How Is the Data Generally Sourced? Our data is sourced directly from users who utilize our dash cam app, which harnesses the smartphone’s camera and sensors to record during a trip. This direct sourcing method ensures that our data is unbiased and represents a wide variety of conditions and environments. The data is not only authentic and reflective of current road conditions but is also abundant in volume, offering millions of miles of recorded trips that cover diverse scenarios.

Primary Use-Cases and Verticals The Pickup Automotive Consumer Video Data is tailored for various sectors, particularly those involved in transportation, urban planning, and autonomous vehicle development. Key use cases include:

Training Object Detection Models: Clients can utilize our annotated data to develop and refine their own object detection models for applications in autonomous vehicles, ensuring better decision-making capabilities in complex driving environments.

Urban Planning and Infrastructure Development: Our data helps municipalities understand road usage patterns, enabling them to make informed decisions regarding infrastructure improvements, safety measures, and traffic management.

Insurance Analytics: Insurance companies can leverage insights from our data to assess risk in various driving environments, aiding in the development of tailored insurance products and improving claims processing.

Integration with Our Broader Data Offering The Pickup Automotive Consumer Video Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and object detection models.

In summary, Driver Technologies' Pickup Automotive Consumer Video Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Pickup Automotive Consumer Video Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.